NDLI: A fuzzy DNA-based algorithm for identification and authentication in an Iris Detection System

Content Provider	IEEE Xplore Digital Library
Author	de Santos Sierra, A. Avila, C.S. Vera, V.J.
Copyright Year	2008
Description	Author affiliation: Appl. Math. Dept., ETSI de Telecomun., Madrid (Vera, V.J.) \|\| Centro de Domotica Integral, Univ. Politec. de Madrid, Madrid (de Santos Sierra, A.; Avila, C.S.)
Abstract	Several algorithms have been proposed in order to identify or authenticate a certain user in an iris detection system. These previous algorithms are based on different transforms applied to a certain features extracted from the iris, known as iris template. However, this new approach aims to identify and/or authenticate a user avoiding transforms, comparing directly the Iris templates instead. Based on ideas inherited from DNA alignment algorithms and fuzzy logic, this new algorithm attains a better result in deciding whether two templates belong to the same user, when being compared to previous algorithms. Furthermore, this new algorithm allows a partial comparison between the whole template stored in a database, and a portion of template, decreasing the accessing time. As a result, not only false acceptance rate (FAR) and false rejection rate (FRR) but also time in identifying and authenticating are highly decreased compared to current algorithms and furthermore its flexibility in a local comparison makes of it a promising algorithm in not only an iris detection system, but in any biometric system.
Starting Page	226
Ending Page	232
File Size	738550
Page Count	7
File Format	PDF
ISBN	9781424418169
DOI	10.1109/CCST.2008.4751306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-13
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Authentication Iris DNA Feature extraction Data mining Sequences Fuzzy logic Biometrics Databases Iris Template Biometry DNA Global and Local Alignment Fuzzy Logic Identification Iris Detection System
Content Type	Text
Resource Type	Article

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